scholarly journals On Labor Productivity in OECD Countries: Panel Data Modeling

2021 ◽  
Vol 18 ◽  
pp. 1474-1488
Author(s):  
Mohamed R. Abonazel ◽  
Ohood Shalaby
Keyword(s):  
Growth Rate ◽  
Panel Data ◽  
Labor Productivity ◽  
Value Added ◽  
Participation Rate ◽  
Oecd Countries ◽  
Labor Cost ◽  
Annual Growth Rate ◽  
Productivity Indicators ◽  
The Impact

Labor productivity is a key measure of economic performance and an essential factor of improving the living standards. High labor productivity growth rate can reflect increased use of capital, and/or a decrease in the employment of low-productivity workers. Thus, it can be said that labor productivity indicators reflect the effectiveness of labor utilization, labor cost, and revenue accumulation. This paper studies the impact of labor market conditions, economic integration, market size, and institutional quality on labor productivity in Organization for Economic Co-operation and Development (OECD) countries during the period from 2005 to 2017 by using panel data technique. The study finds that the random effects panel data model is the appropriate model to fit this data. The results suggest that average annual hours worked, labor force participation rate, and inflation rate have a negative significant impact on labor productivity in OECD countries. However, annual growth rate of GDP per capita, value added of industry, and control of corruption have a positive significant impact on labor productivity.

scholarly journals Impact of COVID-19 on China's macroeconomy and agri-food system – an economy-wide multiplier model analysis

2020 ◽  
Vol 12 (3) ◽  
pp. 387-407 ◽  
Author(s):  
Yumei Zhang ◽  
Xinshen Diao ◽  
Kevin Z. Chen ◽  
Sherman Robinson ◽  
Shenggen Fan
Keyword(s):  
Economic Growth ◽  
Growth Rate ◽  
Food System ◽  
Job Creation ◽  
Value Added ◽  
Annual Growth Rate ◽  
Export Demand ◽  
Potential Cost ◽  
Content Type ◽  
The Impact

PurposeThe purpose of this study is to assess the potential economic cost of the COVID-19 pandemic on China's macroeconomy and agri-food system and provide policy recommendations to stimulate economic growth and agri-food system development.Design/methodology/approachAn economy-wide multisector multiplier model built on China's most recent social accounting matrix (SAM) for 2017 with 149 economic sectors is used to assess the impact of COVID-19 on China's macroeconomy and agri-food system. SAM multiplier analysis focuses on supply chain linkages and captures the complexity of an interconnected economy.FindingsThe paper finds that both the macroeconomy and agri-food systems are hit significantly by COVID-19. There are three main findings. First, affected by COVID-19, GDP decreased by 6.8% in the first quarter of 2020 compared with that in 2019, while the economic loss of the agri-food system is equivalent to 7% of its value added (about RMB 0.26 trillion). More than 46m agri-food system workers (about 27% of total employment) lost their jobs to COVID-19 in the lockdown phase. The COVID-19 affects the employment of unskilled labor more than that of skilled labor. Second, when the economy starts to recover during the second and third quarters, the growth rate in the value added of the agri-food system turns positive but still modest. Many jobs resume during the period, but the level of agri-food system employment continues to be lower than the base. The agri-food system employment recovery is slower than that of other sectors largely due to the sluggish recovery of restaurants. Agri-food system employment drops by 8.6m, which accounts for about 33% of the total jobs lost. Third, although the domestic economy is expected to be normal in the fourth quarter, external demand still faces uncertainties due to the global pandemic. The agri-food system is projected to grow by 1.1% annually in 2020 with resuming export demand, while only by 0.4% without resuming export demand. These rates are much lower than an annual growth rate of 4.3% for the agri-food system in 2019. The results also show that, without resuming export demand, China's total economy will grow less than 1% in 2020, while, with export demand resumed, the growth rate rises to 1.7%. These rates are much lower than an annual GDP growth rate of 6.1% in 2019.Practical implicationsThe results show that continuously reducing economic dependency on exports and stimulating domestic demand are key areas that require policy support. The agri-food system can play an important role in supporting broad economic growth and job creation as SMEs are major part of the AFS. Job creation requires policies to promote innovation by entrepreneurs who run numerous SMEs in China.Originality/valueThis paper represents the first systematic study assessing the impact of COVID-19 on China's agri-food system in terms of value added and employment. The assessment considers three phases of lockdown, recovery and normal phases in order to capture the full potential cost of COVID-19.

scholarly journals TERMS OF TRADE AND INDUSTRIALIZATION: REALITIES IN UKRAINE

2020 ◽  
pp. 21-34
Author(s):  
Olena Bazhenova ◽  
Ihor Chornodid
Keyword(s):  
Economic Growth ◽  
Growth Rate ◽  
Industrial Development ◽  
Value Added ◽  
Terms Of Trade ◽  
Gdp Per Capita ◽  
Annual Growth Rate ◽  
Vector Autoregressive ◽  
Per Capita ◽  
The Impact

he paper explores the impact of terms of trade on the industrialization and economic growth in Ukraine due to significant vulnerability of national economy to foreign economic shocks, its openness and mainly commodity structure of exports. In this research we have chosen manufacturing value added as percent in GDP to identify periods of industrialization, as its growth corresponds to periods of accelerated industrial development and vice versa. Also we considered GDP per capita as indicator of national economy’s performance. The changes in terms of trade were investigated based on the analysis of terms of trade adjustments, which are determined by the ability to import goods and services minus exports at constant prices. As an empirical research tool vector autoregressive models have been chosen to explore the relationship between endogenous and exogenous variables in dynamics. Thus, the endogenous variables in the model are the annual growth rate of GDP per capita, manufacturing value added and terms of trade adjustments in 1991-2018. Therefore, the first-order vector autoregression model was constructed to examine this relationship. According to the results of research, acceleration of terms of trade adjustments growth rate (deterioration of terms of trade) in Ukraine leads to fluctuations in the manufacturing value added growth with an increase of almost 3% in the second period and further declining. It indicates an increase in industrial production in response to the deterioration of terms of trade in the short run and possible intensification of innovative economic growth triggers. Fluctuations in manufacturing value added account for from almost 7% to 14% in fluctuations of GDP per capita growth. In turn, fluctuations in terms of trade adjustments account for only from 3% to almost 5%. At the same time, fluctuations in manufacturing value added from 8% to 13% are explained by fluctuations in terms of trade adjustments.

Can labor productivity growth reduce carbon emission? Evidence from OECD countries and China

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Xueli Chen ◽  
Wanshu Ma ◽  
Vivian Valdmanis
Keyword(s):  
Labor Productivity ◽  
Fixed Effects ◽  
Oecd Countries ◽  
Environmental Indicators ◽  
Ekc Hypothesis ◽  
Initial Development ◽  
Content Type ◽  
Per Capita ◽  
The Impact ◽  
The Relationship

PurposeThe purpose of this study is to examine the challenges involved in the trade-offs of labor productivity and per capita carbon dioxide (CO2) emission.Design/methodology/approachIn this research, we used a balanced dataset of 36 OECD countries and China between 1990 and 2018. We examined the relationship between labor productivity and per capita CO2 emission for OECD countries and China based on an Environmental Kuznets Curve (EKC) hypothesis. Further, the fixed effects model of estimation was employed to examine the impact of variables during the sample period and explore the relationship between predictor and outcome variables within an entity while controlling for all time-invariant differences.FindingsThis study confirmed the existence of the N-shape EKC hypothesis in 36 OECD countries and China. This implies that at the initial development stage, per capita CO2 emission increased with labor productivity; however, after reaching certain threshold, per capita CO2 emission began to fall with rising labor productivity. Then the per capita CO2 emission rises again when labor productivity continually increases.Originality/valueIn this study, we explored the dynamic association between labor productivity and per capita CO2 emissions for 36 OECD countries and China under the EKC framework from 1990 to 2018 by using the labor productivity and per capita CO2 emission as economic and environmental indicators of one country respectively. This study’s contribution showed the following: first, the empirical findings confirmed the N-shape relationship between labor productivity and per capita CO2 emissions for 36 OECD countries and China; second, the findings demonstrated that the association among the underlying variables by testing through the fixed effect model.

The Impact of COVID-19 on Energy Consumption in the United States: An Overview

2021 ◽  
Author(s):  
Lindsey Kahn ◽  
Hamidreza Najafi
Keyword(s):  
Growth Rate ◽  
Energy Consumption ◽  
Energy Use ◽  
The United States ◽  
Average Annual Growth Rate ◽  
Annual Growth ◽  
Annual Growth Rate ◽  
End User ◽  
End Use ◽  
The Impact

Abstract Lockdown measures and mobility restrictions implemented to combat the spread of the novel COVID-19 virus have impacted energy consumption patterns, particularly in the United States. A review of available data and literature on the impact of the pandemic on energy consumption is performed to understand the current knowledge on this topic. The overall decline of energy use during lockdown restrictions can best be identified through the analysis of energy consumption by source and end-user breakdown. Using monthly energy consumption data, the total 9-months use between January and September for the years 2015–2020 are calculated for each end-use. The cumulative consumption within these 9 months of the petroleum, natural gas, biomass, and electricity energy by the various end-use sectors are compared to identify a shift in use throughout time with the calculation of the percent change from 2019 to 2020. The analysis shows that the transportation sector experienced the most dramatic decline, having a subsequent impact on the primary energy it uses. A steep decline in the use of petroleum and natural gas by the transportation sector has had an inevitable impact on the emission of carbon dioxide and other air pollutants during the pandemic. Additionally, the most current data for the consumption of electricity by each state and each end-user in the times before and during the pandemic highlights the impact of specific lockdown procedures on energy use. The average total consumption for each state was found for the years 2015–2019. This result is used calculation of yearly growth rate and average annual growth rate in 2020 for each state and end-user. The total average annual growth rate for 2020 was used to find a correlation coefficient between COVID-19 case and death rates as well as population density and lockdown duration. To further examine the relationship a correlation coefficient was calculated between the 2020 average annual growth rate for all sectors and average annual growth rate for each individual end-user.

Impact of the COVID-19 Outbreak on the Currency Exchanges of Selected Countries

2022 ◽  
Vol 14 (2) ◽  
pp. 73-91
Author(s):  
Sudhi Sharma ◽  
Miklesh Prasad Yadav ◽  
Babita Jha
Keyword(s):  
Growth Rate ◽  
Negative Impact ◽  
Annual Growth ◽  
Conditional Heteroskedasticity ◽  
Annual Growth Rate ◽  
Dummy Variable ◽  
Currency Market ◽  
Autoregressive Conditional Heteroskedasticity ◽  
The Impact

The paper aims to analyse the impact of the COVID outbreak on the currency market. The study considers spot rates of seven major currencies (i.e., EUR/USD, USD/JPY, GBP/USD, AUD/USD, USD/CAD, USD/CHF, and CHF/JPY). To capture the impact of the outbreak on returns and the volatility of returns of seven currencies during pandemic, the study has segregated in two window periods (i.e., pre- [1st Jan 2019 to 31st Dec, 2019] and post-outbreak of COVID-19 [1st Jan, 2020 to 22nd Dec, 2020]). The study has applied various methods and models (i.e., econometric-based compounded annual growth rate [CAGR], dummy variable regression, and generalized autoregressive conditional heteroskedasticity [GARCH]). The result of the study captures the negative impact of the COVID-19 pandemic on three currencies—USD/JPY, AUD/USD, and USD/CHF—and positive significant impact on EUR/USD, GBP/USD, USD/CAD, and CHF/JPY. Investors can take short position in these while having long position in other currencies. The inferences drawn from the analysis are providing insight to investors and hedgers.

scholarly journals The Impact of OECD Countries’ Macroeconomic Factors on Turkey’s Foreign Trade

2017 ◽  
Vol 8 (1) ◽  
pp. 24
Author(s):  
Elif Guneren Genc ◽  
Ozlem Deniz Basar
Keyword(s):  
Time Series ◽  
Panel Data ◽  
Urban Population ◽  
Economic Structure ◽  
Oecd Countries ◽  
Data Sets ◽  
Macroeconomic Factors ◽  
Macroeconomic Time Series ◽  
Per Capita ◽  
The Impact

The purpose of this study is to investigate the makroeconomic effects of OECD countries, having a major economic share in the regional communities, in the scope of complex economic structure, and accordingly, to determine the effects of those on Turkey's exports and imports. For this purpose, Turkey’s bilateral export and import volumes with OECD countries for the period of 1996 to 2014 were modelled by using these countries’ macroeconomic time series variables and panel data sets. It was revealed at the end of the study that the most determinant macroeconomic factors concerning the increase in Turkey’s import is the increase in per capita GNP in these countries. This variable is seen to be followed by these countries’ urban population, export indices and the export increases of Turkey for these countries respectively.

New Evidence on the Relationship Between Economic Freedom and Growth: A Panel Cointegration Analysis for The Case of OECD

2012 ◽  
Vol 12 (3) ◽  
pp. 1850263 ◽  
Author(s):  
Ekrem Erdem ◽  
Can Tansel Tugcu
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Total Factor Productivity ◽  
Economic Freedom ◽  
Global Financial Crisis ◽  
Oecd Countries ◽  
Cointegration Analysis ◽  
Factor Productivity ◽  
The Impact ◽  
The Relationship

The aim of this paper is to find a new answer to an old question “Is economic freedom good or not for economies?” which was refreshed after the Global Financial Crisis of 2008. For this purpose, the relationship between economic freedom and economic growth, and the relationship between economic freedom and total factor productivity in OECD countries were investigated by using panel data for the period of 1995-2009. Study employed the recently developed cointegration test by Westerlund (2007) and the estimation technique by Bai and Kao (2006) which account for cross-sectional dependence that is an important problem in the panel data studies. Although no significant relationship found between economic freedom and total factor productivity, cointegration analysis revealed that economic freedom matters for economic growth in OECD countries in the long-run, and estimation results showed that direction of the impact is negative.

scholarly journals Spanish non-financial corporations and the COVID pandemic: vulnerability, resilience and transformation

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Vicente Salas-Fumás
Keyword(s):  
Value Added ◽  
Probit Model ◽  
Labor Cost ◽  
Organizational Capital ◽  
Corporate Sector ◽  
Economic Sectors ◽  
Content Type ◽  
Country Level ◽  
Heterogeneous Effects ◽  
The Impact

Purpose This paper aims to assess the vulnerability and resilience of the Spanish non-financial corporations (NFC) to the shock from the COVID pandemic with consolidated income accounts data, and shows comparative labor productivity and endowment of organizational capital of Spanish firms, as indicators of their capabilities at the outset of the new digital transformation wave proposed by the next generation EU program. Design/methodology/approach The paper first describes the recent evolution (quarterly 2020 data) of the Spanish non-financial corporate sector (gross value added, labor cost, capital formation, profits) in the assessment of the vulnerability and resilience of the sector to the shock of the COVID pandemic. Then second, it estimates a probit model to evaluate the EU country effects in the explanation of the different propensity firms in the European Company Survey database to adopt innovative management and organization practices. Findings In the Spring of 2020, the Spanish NFC were still recovering from the great recession (low resilience), and the severe contraction in value-added and profits of the corporate sector in the first three quarters of the year evidences its high vulnerability. The proved complementarity between organizational and information related assets implies that the low endowment of organizational capital of Spanish firms, could be a severe limitation for the advancement toward digitalization. Research limitations/implications The aggregate corporate sector data used in the analysis of vulnerability and resilience of Spanish firms does not account for the heterogeneous effects of the pandemic across economic sectors (manufacturing and services, for example) and across firms (large versus small ones). Originality/value The paper complements the country-level analysis of the impact of the COVID pandemic in the Spanish economy with the analysis of the impact of the pandemic in the performance of the corporate sector. It provides one of the first analysis of the current endowment of organization capital of Spanish firms and highlights its relevance for productivity growth.

scholarly journals Menelusuri Kembali Peran Investasi Modal Manusia dan Modal Fisik Dalam Meningkatkan Pertumbuhan Produktivitas

2019 ◽  
Vol 8 (3) ◽  
pp. 216
Author(s):  
Hendarmin Hendarmin
Keyword(s):  
Human Capital ◽  
Panel Data ◽  
Capital Investment ◽  
Average Length ◽  
Random Effect ◽  
Participation Rate ◽  
Physical Capital ◽  
Economic Productivity ◽  
West Kalimantan ◽  
The Impact

The purpose of this study is to examine the impact of human capital on the level of economic productivity of regencies/cities in West Kalimantan Province. The data used in this study are panel data from 14 West Kalimantan Province/City Districts during the period 2012-2017 whose research results were analyzed using the Random Effect approach panel data regression analysis. The results of the study explained that the role of hum an capital as measured by the level of education, namely the average length of school (RLS), High School Participation Rate, and health level namely life expectancy (AHH) had a non-significant effect on economic productivity. Whereas physical capital investment (PMTB) has a significant influence on the level of economic productivity. The results of the analysis also show that for the human capital variable it has a smaller magnitude compared to the physical capital investment variable. Based on these results, it is concluded that the impact of human capital is very important in increasing economic productivity in the Regency/City of West Kalimantan Province.

scholarly journals The impact of employee remuneration inequalities on employee productivity in the South African workplace

2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Gerhardus Van Zyl
Keyword(s):  
Panel Data ◽  
South African ◽  
Manufacturing Industry ◽  
Negative Impact ◽  
Positive Impact ◽  
Value Added ◽  
Employee Productivity ◽  
The South ◽  
Ongoing Research ◽  
The Impact

Orientation: This article is part of an ongoing research project on various aspects of employee productivity in the South African workplace.Research purpose: The aim of this article is to determine firm-based employee productivity impacts as a result of employee remuneration inequalities (excess-remuneration and under-remuneration) in the South African workplace.Motivation for the study: The study focuses on understanding the impact and magnitude of employee remuneration inequalities on employee productivity in a unionised South African workplace.Research design: The article adopts two distinct estimation models. The aim of the additive multivariate linear estimation model is to determine the sign and the significance of the impact of both under- and excess-remuneration levels on employee productivity when employee characteristics such as levels of training, work experience and managerial involvement are considered. The second model is a fixed-effect panel data estimation where the full sample set of the relevant firm-based data is used. The aim of the panel data estimations is to estimate the robustness of the additive multivariate linear estimates. The manufacturing industry of Gauteng has been chosen as the case study, given the importance of this industry, in the gross geographical product of Gauteng province and the availability of firm-based data.Main findings: Estimation results indicate a strong and significant negative impact of under-remuneration on employee productivity levels. Excess-remuneration levels have a small positive impact on employee productivity levels.Practical/managerial implications: The estimations indicate the necessity to eliminate remuneration inequalities and opt for equalised remuneration structures for similar occupations in the market to enhance employee productivity levels.Contribution/value-added: The study contributes to our understanding of the impact of remuneration inequalities for similar occupations on employee productivity.

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